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Bump testing for numpy 2 #381
Merged
github-actions
merged 8 commits into
conda-forge:testing
from
dopplershift:bump-testing
May 17, 2024
Merged
Bump testing for numpy 2 #381
github-actions
merged 8 commits into
conda-forge:testing
from
dopplershift:bump-testing
May 17, 2024
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…ForgeAutomergeUpdate
TL;DR: The way we build against numpy has changed as of numpy 2.0. This bot PR has updated the recipe to account for the changes (see below for details). The numpy 2.0 package itself is currently only available from a special release channel (`conda-forge/label/numpy_rc`) and will not be available on the main `conda-forge` channel until the release of numpy 2.0 GA. The biggest change is that we no longer need to use the oldest available numpy version at build time in order to support old numpy version at runtime - numpy will by default use a compatible ABI for the oldest still-supported numpy versions. Additionally, we no longer need to use `{{ pin_compatible("numpy") }}` as a run requirement - this has been handled for more than two years now by a run-export on the numpy package itself. The migrator will therefore remove any occurrences of this. However, by default, building against numpy 2.0 will assume that the package is compatible with numpy 2.0, which is not necessarily the case. You should check that the upstream package explicitly supports numpy 2.0, otherwise you need to add a `- numpy <2` run requirement until that happens (check numpy issue 26191 for an overview of the most important packages). Note that the numpy release candidate promises to be ABI-compatible with the final 2.0 release. This means that building against 2.0.0rc1 produces packages that can be published to our main channels. If you already want to use the numpy 2.0 release candidate yourself, you can do ``` conda config --add channels conda-forge/label/numpy_rc ``` or add this channel to your `.condarc` file directly. ### To-Dos: * [ ] Match run-requirements for numpy (i.e. check upstream `pyproject.toml` or however the project specifies numpy compatibility) * If upstream is not yet compatible with numpy 2.0, add `numpy <2` upper bound under `run:`. * If upstream is already compatible with numpy 2.0, nothing else should be necessary in most cases. * If upstream requires a minimum numpy version newer than 1.19, you can add `numpy >=x.y` under `run:`. * [ ] Remove any remaining occurrences of `{{ pin_compatible("numpy") }}` that the bot may have missed. PS. If the build does not compile anymore, this is almost certainly a sign that the upstream project is not yet ready for numpy 2.0; do not close this PR until a version compatible with numpy 2.0 has been released upstream and on this feedstock (in the meantime, you can keep the bot from reopening this PR in case of git conflicts by marking it as a draft).
…nda-forge-pinning 2024.05.15.19.07.12
…-numpy2-0-1_hd88315 Rebuild for numpy 2.0
automerged PR by conda-forge/automerge-action
dopplershift
requested review from
mdboom,
ocefpaf,
pelson and
tacaswell
as code owners
May 17, 2024 20:21
Hi! This is the friendly automated conda-forge-linting service. I just wanted to let you know that I linted all conda-recipes in your PR ( |
Hi! This is the friendly conda-forge automerge bot! I considered the following status checks when analyzing this PR:
Thus the PR was passing and merged! Have a great day! |
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This backports #376 and #380 to clean up what started with #377.
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(if the version changed)conda-smithy
(Use the phrase@conda-forge-admin, please rerender
in a comment in this PR for automated rerendering)